A lightweight, lightning-fast, in-process vector database
- rag
- agent-skills
- embedded
- faiss
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A lightweight, lightning-fast, in-process vector database
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
🔍 导出并模糊搜索 Telegram 聊天记录 | Export and fuzzy search your Telegram chat history
The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable.
All-in-one platform for search, recommendations, RAG, and analytics offered via API
Embeddable, in-memory, document-oriented database with a high-level Query builder interface.
A Modern C++ Data Sciences Toolkit
ZoneTree.FullTextSearch is an open-source library that extends ZoneTree to provide efficient full-text search capabilities. It offers a fast, embedded search engine suitable for applications that require high performance and do not rely on external databases.